MedGemma-27B-IT: benchmark results

Google's MedGemma 27B-IT, an instruction-tuned, image-text-to-text model fine-tuned from Gemma 3 27B for the medical domain. Provider: Google. Released 2025-05-20. Access: Open.

Aggregate Rating 1573 ± 12, rank #1348 of 10916 rated models, from 171 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Oncology Report-Derived VQA - Liver CT Report-Derived64.5Accuracy (%; zero-shot multiple-choice VQA with 2-5 options 100
PSF-Med - Open Medical9.47Paraphrase Flip Rate (%)100
PSF-Med - Open Medical - MIMIC-CXR6.4Paraphrase Flip Rate (%)100
PSF-Med - Open Medical - VinDr-CXR8.1Paraphrase Flip Rate (%)100
Open Portuguese LLM - ASSIN2 RTE94.56Macro F1 (%)97
MedLayXPlain67.2S (self-reported)96.8
Open Portuguese LLM - FaQuAD NLI83.25Macro F1 (%)96.4
CURE (Clinical Diagnosis, Physician References) - Top-385Open-ended diagnosis, Hit@3 in percent: share of cases whose93.3
CURE (Clinical Diagnosis, RAG) - Top-328.6Open-ended diagnosis, Hit@3 in percent: share of cases whose93.3
MI-CXR - Multiple Event Localization35.1Temporal Event Localization, multiple emergences or resoluti92.3
Open Portuguese LLM - ENEM78.66Accuracy (%)92.2
Open Portuguese LLM - OAB Exams59.13Accuracy (%)91.7

Interactive version: theaggregate.ai/model?slug=medgemma-27b-it · How It Works · Data refreshed daily, snapshot 2026-11-08.